AWS shipped the Agent Toolkit, which gives coding agents skills, live docs and an MCP server. The part I care about is the guardrails: IAM condition keys that mark agent calls, and CloudTrail records of what the agent did. Set those up before an agent gets near a client account.
An AI chat over your WooCommerce orders will hand you confident numbers that don’t match Analytics. Let the model pick the question and let your code answer it. Here’s how I’d wire that with one REST endpoint and a strict args schema.
A spinner tells users nothing when an AI agent takes 20 seconds to think. These are the patterns I use instead: specific status updates, a thinking toggle, checklists that handle partial success, and a saved audit trail.
Using Claude for data science now goes well past chat prompts. Three skills I’d pick up: throwaway interactive dashboards for EDA, Claude Cowork for Jira and reporting chores, and Claude Code for tracing broken dbt pipelines.
WordPress.com has a beta of the Easy Site Editor, a chat panel that edits your site through MCP. It’s fast for small changes, but developers should watch how it handles layout control and block restrictions.
A static RAG pipeline goes stale fast. Here’s why grounding LLMs with live search results works better for real-time facts, and how to wire a search API into your WordPress backend with PHP and transients.
I stopped hand-reviewing every line my coding agents write. What I do instead: fine-grained permissions in settings.json, a strict deny list for destructive commands, and a second agent that reviews the first one’s work.
I spent months trying to make Claude Code my main tool, but since GPT-5.5 I’ve moved complex WordPress refactoring back to OpenAI Codex. Here’s my setup: reasoning levels, Playwright MCP, and a worktree alias.
I stopped hand-holding Claude Code and gave it a nightly review instead: a self-reflection skill, a 2 AM cron job, and a rules file it edits itself. This is the setup I run on real WordPress work.
Every AI harness keeps its own memory, so moving from Cursor to Claude Code means starting from zero context. Here is the shared layer I build instead: lifecycle hooks writing into Neo4j, plus the batch job that turns raw events into notes.